AUTOMATED RECOGNITION OF PERMAFROST DISTURBANCES USING HIGH-SPATIAL RESOLUTION SATELLITE IMAGERY AND DEEP LEARNING MODELS

• Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: M. R. Udawalpola, C. Witharana, A. Hasan, A. Liljedahl, M. Ward Jones, B. Jones
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2022
• Subjects: Technology; T; Engineering (General). Civil engineering (General); TA1-2040; Applied optics. Photonics; TA1501-1820; Arctic; Ellesmere Island; Canada; Pyramid; Banks Island; Climate change; permafrost
• Online Access: https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-203-2022; https://doaj.org/article/62b06d81676749288a76f1e67b55300a

The accelerated warming conditions of the high Arctic have intensified the extensive thawing of permafrost. Retrogressive thaw slumps (RTSs) are considered as the most active landforms in the Arctic permafrost. An increase in RTSs has been observed in the Arctic in recent decades. Continuous monitor...